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串联校正是控制系统校正中常用的几种校正方式之一。在进行串联校正时,经常使用超前校正装置和滞后校正装置这两种校正装置。然而,在应用这两种校正装置对控制系统进行串联校正时存在很多的缺点和不足,如只能对有限的控制系统进行校正、在进行校正时这两种装置的参数的求解过程过于复杂等。为了克服这些缺点和不足,提高控制系统校正的效率,首先将超前校正装置和滞后校正装置进行串联构成多级校正装置,然后采用遗传算法程序直接对多级校正装置的参数进行寻优,找出满足性能指标要求的多级校正装置的参数,从而实现控制系统的校正。仿真结果表明,这种方法不但简化了控制系统校正的过程,而且扩展了可校正系统的范围,对控制系统设计的研究具有一定的参考价值。
Series calibration is one of several calibration methods commonly used in control system calibration. In series correction, the two kinds of correction devices such as the lead correction device and the lag correction device are often used. However, there are many disadvantages and shortcomings when applying these two correction devices to series control of the control system. For example, only a limited control system can be calibrated. For example, the process of solving these two devices is too complicated . In order to overcome these shortcomings and shortcomings and improve the efficiency of the control system calibration, the advanced correction device and the hysteresis correction device are connected in series to form a multi-level correction device. Then, the genetic algorithm program is used to directly search the parameters of the multi-level correction device. To meet the performance requirements of multi-level calibration device parameters, in order to achieve control system calibration. The simulation results show that this method not only simplifies the process of control system calibration, but also expands the scope of the system that can be calibrated, which has certain reference value for the research of control system design.